IS WORK OVER?

Automation index

How much of a Appliance technician’s job can AI already do?

An error code comes earlier. Diagnosing in someone else’s kitchen and leaving it washing do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Appliance technician

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Code, history and the spare.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Strip, test and the built-in one.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Order the part, second visit and the client who is out.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Warranty, misuse and what it does not cover.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The tight kitchen and not marking the unit.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Leave it washing, and not swapping the board blind.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • diagnose appliances
  • error codes
  • strip built-ins
  • spares
  • warranty
  • second visit
  • test boards
  • service call

Sources for this job· O*NET 49-9031.00· ESCO/ISCO 7412

Warehouse supervisor

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Docks, waves and the shift plan.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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